We trained our DNNs on BSDS500 [1]}, which comprises 200 training, 100 validation, and 200 test images. Up to 9 annotators labeled each image. Like previous works [2]}, [3]}, [4]}, [5]}, we used the training set and validation set for tuning the DNN and test set for evaluation and mixed the augmented training data of BSDS500 with flippedVOC Context dataset [6]}.
